Non-uniformly sampled 3D information representation method

Abstract

A non-uniformly sampled three-dimensional (3D) information representation method is revealed. Firstly, use a computer to reconstruct a 3D model according to a 3D model data. Then set up a projection point according to the 3D model. The projection point is projected onto the 3D mode so as to get a plurality of sampling points uniformly. Then create at least one 2D array data according to a plurality of horizontal parameters and a plurality of vertical parameters of a 3D sample model. The 2D array, data corresponds to the sampling points. Take samples from non-uniform area of the 3D model so as to generate a non-uniform element. Thus, the 3D model data is simplified and this is beneficial to representation, operation, storage and transmission of 3D data.

Description

BACKGROUND OF THE INVENTION[0001]1. Fields of the Invention[0002]The present invention relates to an image processing method, especially to a non-uniformly sampled three-dimensional (3D) information representation method.[0003]2. Descriptions of Related Art[0004]In research and patents related to data representation methods for 3D models, most of representation methods can be categorized as one of two groups—two basic 3D model representation methods. The first method involves a geometric representation for 3D models in which 3D models are represented by limited color texture data and a simple 3D model representation method. Thus only small amount of texture image data is required to complete the construction of the 3D model. But the 3D model has to be reconstructed first in order to get the geometric data. On the other hand, there are also 3D model representation which use texture images. Instead of geometric data, the texture image representation method for 3D models requires a lar...

AI Technical Summary

Benefits of technology

[0010]In order to achieve the above objects, a non-uniformly sampled three-dimensional (3D) information representation method of the present invention includes a plurality of steps. Firstly, reconstruct a 3D model using a computer according to a 3D model data. Then set up a projection point inside the 3D model and the projection point is corresponding to a plurality of sampling points of the 3D model. Next create a 3D sample model according to the projection point and the sampling points. Further generate at least one 2D array data by the computer according to a plurality of horizontal parameters and a plurality of vertical parameters of the 3D sample model. The 2D array data corresponds to the sampling points. Then t

Problems solved by technology

Instead of geometric data, the texture image representation method for 3D models requires a large amount of texture image data to construct the texture images of the 3D model.

However, no matter which method is used, it's difficult to have data reduction while keeping image details at the same time.

As the data simplicity of the 3D model is achieved, the image details of the 3D model with higher complexity are significantly lost.

On the other hand, in order to achieve the high quality of the texture mapping of the 3D model, a huge amount of texture image data is required, which ha

Images